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Record W4408554236 · doi:10.1016/j.kscej.2025.100234

Analysis of convergence deformation remediation of shield tunnels by lateral grouting

2025· article· en· W4408554236 on OpenAlex
Xinan Yang, Mingjie Ma, Lin Zhou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKSCE Journal of Civil Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsMinistry of Education and Child Care
FundersChina Railway
KeywordsShieldDeformation (meteorology)Convergence (economics)GeologyGeotechnical engineeringStructural engineeringEngineeringMining engineeringPetrology

Abstract

fetched live from OpenAlex

Grouting is recognized as an effective method for remediating convergence deformation in shield tunnels. However, simple and effective theoretical calculation methods to guide on-site construction are still lacking. By constructing a mechanical analysis model of tunnel deformation induced by horizontal lateral grouting, this study derives a mathematical expression for tunnel longitudinal convergence deformation caused by single-hole grouting. This analysis is further extended to cases involving double-hole and continuous multi-hole grouting on the same side. The theoretical method is validated by field monitoring data and numerical simulation, confirming its rationality. Under grouting pressure, the tunnel's transverse convergence deformation displays a “π”-shaped distribution along the longitudinal axis. This deformation shows a negative correlation with tunnel-to-grouting hole spacing and burial depth, and a positive correlation with grouting pressure. Tunnel stiffness and soil cohesion have minimal impact on the convergence deformation. The research provides a reference for predicting tunnel convergence deformation resulting from grouting activities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.188
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it